Skip to main content

Neo4j CLI

Project description

Neo4j CLI

Installation

curl -sSfL https://neo4j.sh/install.sh | bash

Verify with neo4j-cli --help.

Alternatives

  • Homebrew: brew install neo4j-labs/tap/neo4j-cli (stable releases only; prereleases ship via npm/PyPI).
  • npm: npm i -g @neo4j-labs/cli (also works with pnpm add -g / yarn global add). Prereleases: @alpha, @beta, @rc, @next. Platform matrix: distribution/npm/cli/README.md.
  • PyPI: pip install neo4j-cli, pipx install neo4j-cli, or uv tool install neo4j-cli. One-shot: uvx -i neo4j-cli <commands>. Pin a prerelease with ==, e.g. pipx install neo4j-cli==0.1.0a6.
  • Prebuilt archive: grab your OS/arch from releases.

Self-update

neo4j-cli update swaps the running binary with the latest GitHub release. By default only stable semver tags are considered.

neo4j-cli update                         # update to latest stable
neo4j-cli update check                   # report availability, exit 1 if newer; never downloads
neo4j-cli update --pre-releases          # opt into alpha/beta/rc tags
neo4j-cli update --version v0.1.0        # pin to a named tag (also the only way to downgrade)

If the binary was installed via Homebrew / npm / pipx / uv, update prints the channel-correct upgrade command instead of overwriting; pass --force to swap in place anyway. See neo4j-cli update --help.

Installed agent skill bundles are refreshed automatically after a successful swap; if none are installed, update suggests running neo4j-cli skill install.

Agent skills

neo4j-cli ships an embedded skill bundle (SKILL.md + per-subcommand references) that teaches AI coding agents how to drive the CLI. skill install drops it into each detected agent's skill directory; pass an agent name to target one.

Supported agents: Claude Code, Cursor, Windsurf, Copilot, Gemini CLI, Cline, Codex, Pi, OpenCode, Junie.

neo4j-cli skill install                  # all detected agents
neo4j-cli skill install claude-code      # one agent
neo4j-cli skill list                     # per-agent install state
neo4j-cli skill check                    # version drift vs running binary
neo4j-cli skill remove [agent]           # idempotent

Credentials

neo4j-cli stores three kinds of credentials in credentials.json under your OS config directory. All three trees share the same add / list / use / remove shape; use sets the default consumed by downstream commands.

credential aura-client — Aura Console API credentials (client ID + secret). Required for any aura ... subcommand that calls the Console API.

neo4j-cli credential aura-client add --name "my-org" --client-id <id> --client-secret <secret>
neo4j-cli credential aura-client list
neo4j-cli credential aura-client use my-org
neo4j-cli credential aura-client remove my-org

credential dbms — Neo4j Bolt connection profiles (URI, username, password, database, optional embed-credential link). When a default profile exists, neo4j-cli query connects without any connection flags or env vars.

neo4j-cli credential dbms add --name prod --uri neo4j+s://example.databases.neo4j.io --username neo4j --password '<pw>'
neo4j-cli credential dbms list
neo4j-cli credential dbms use prod
neo4j-cli credential dbms set-embed prod openai-shared    # link an embed credential
neo4j-cli credential dbms set-embed prod                  # clear the link
neo4j-cli credential dbms remove prod

credential embed — Embedding-provider credentials (provider, model, base URL, dimensions, optional API key). Consumed by query --param NAME:embed=... and query :embed. Supported providers: openai, ollama, huggingface.

neo4j-cli credential embed add --name openai-shared --provider openai --model text-embedding-3-small --api-key '<key>'
neo4j-cli credential embed list                           # api-key is never printed
neo4j-cli credential embed use openai-shared
neo4j-cli credential embed remove openai-shared

Aura

Manage Neo4j Aura instances from the terminal. Requires an aura-client credential — create one in your Aura Account Settings and add it via Credentials above.

List your instances

neo4j-cli aura instance list --format table

Create an instance

# Free-db — no cloud provider, region, or memory required
neo4j-cli aura instance create --name my-free-db --type free-db --tenant-id <tenant-id> --rw

# Professional-db on AWS, awaiting readiness
neo4j-cli aura instance create --name my-pro-db --type professional-db --cloud-provider aws \
  --region us-east-1 --memory 4GB --tenant-id <tenant-id> --await --rw

aura tenant list shows tenant IDs. Initial DB credentials returned by instance create are auto-stored as a dbms credential (named <instance-id>-default), so neo4j-cli query can connect immediately. Use --no-credential-storage to skip that.

Querying Neo4j

neo4j-cli query runs Cypher against any Neo4j database via the Bolt protocol. Cypher comes from the positional argument or piped stdin.

neo4j-cli query 'RETURN 1 AS n'
echo 'MATCH (n) RETURN count(n)' | neo4j-cli query

Preferred: add a dbms credential (see Credentials) and query connects with no further config. aura instance create auto-stores one for new instances.

Flags, env vars, and .env files are optional overrides — useful for one-offs or CI without persisting a credential. When a stored credential exists, an override must supply all four of URI/username/password/database (any partial set is rejected). Without a stored credential, resolution is flag → env var → .env file (auto-discovered walking up from cwd) → built-in default.

.env discovery walks up from cwd and stops at the first .git ancestor or your $HOME boundary (whichever comes first), so a .env outside your repo or above your home directory is never loaded. When the loaded .env lives strictly above cwd, an info: loading .env from <path> line is printed to stderr so the overlay is never silent.

Setting Flag Env var Default
URI --uri NEO4J_URI neo4j://localhost:7687
Username --username NEO4J_USERNAME neo4j
Password --password NEO4J_PASSWORD prompted on TTY
Database --database NEO4J_DATABASE neo4j

http:// and https:// URIs are auto-rewritten to neo4j://<host>:7687 and neo4j+s://<host>:7687 respectively (path/query stripped). For self-signed certs use neo4j+ssc://.

Pass parameters with --param key=value (repeatable). Values that parse as JSON are typed; everything else is a string:

neo4j-cli query 'MATCH (p:Person {name:$name}) RETURN p' --param name=Alice
neo4j-cli query 'RETURN $ids' --param 'ids=[1,2,3]'
echo 'MATCH (p:Person {name:$name}) RETURN p' | neo4j-cli query --param name=Alice

Output is a table by default; pass --format json for a stable envelope (columns, rows, truncated, arrays_truncated). When stdout is not a terminal (piped or redirected), --format defaults to json. Applies to both query and :schema. Large results are capped at 100 rows and arrays inside cells at 100 items — tune with --max-rows / --truncate-arrays-over (0 = unlimited).

Schema introspection:

neo4j-cli query :schema

Embedding parameters

Bind a vector parameter inline by passing --param NAME:embed=<text> — the text is sent to the configured embedding provider and the resulting []float32 is bound to $NAME for both the EXPLAIN preflight and the real run. The sibling query :embed [text] leaf computes a vector standalone without opening a Bolt connection.

neo4j-cli query --param q:embed='sci-fi movies' --param k=5 \
  "CALL db.index.vector.queryNodes('idx', \$k, \$q) YIELD node, score RETURN node, score"

neo4j-cli query :embed "hello world" --format json
echo "hello world" | neo4j-cli query :embed --format toon

Embedding settings resolve with this precedence (highest first): flag → env var → .env file → stored embed credential → provider built-in default.

Setting Flag Env var
Credential --embed-credential
Provider --embed-provider NEO4J_EMBED_PROVIDER
Model --embed-model NEO4J_EMBED_MODEL
Base URL --embed-base-url NEO4J_EMBED_BASE_URL
Dimensions --embed-dimensions NEO4J_EMBED_DIMENSIONS
API key (none — see below) NEO4J_EMBED_API_KEY, OPENAI_API_KEY, HF_TOKEN

API-key precedence (highest first): per-provider OS env (OPENAI_API_KEY / HF_TOKEN) → generic OS env (NEO4J_EMBED_API_KEY) → per-provider .env value → generic .env value → stored credential api-key. Ollama needs no API key.

--embed-credential <name> selects a stored embed credential explicitly; without it the resolver falls back to the embed credential linked from the resolved dbms credential (via credential dbms add --embed-credential or credential dbms set-embed), then to credential embed's default. So one --credential <name> can drive both DB connection and embedding when the dbms credential carries an embed link.

Provider defaults: OpenAI base URL https://api.openai.com/v1, Ollama http://localhost:11434, HuggingFace https://router.huggingface.co/hf-inference/models (serverless mode). Setting --embed-base-url switches HuggingFace to dedicated-endpoint mode.

Write operations

Write commands require --rw. neo4j-cli query runs EXPLAIN first when --rw is absent and blocks mutating Cypher before execution.

neo4j-cli aura instance delete <id> --rw
neo4j-cli config set telemetry false --rw
neo4j-cli query 'CREATE (:Person {name:"Alice"})' --rw

Feedback / Issues

Please use GitHub issues to provide feedback and report any issues that you have encountered.

Building locally

Clone the repository and run:

make build

This produces bin/neo4j-cli. To run without building:

make run-neo4j

Developing and contributing

Read CONTRIBUTING.md

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

If you're not sure about the file name format, learn more about wheel file names.

neo4j_cli-0.1.0a11-py3-none-win_arm64.whl (13.8 MB view details)

Uploaded Python 3Windows ARM64

neo4j_cli-0.1.0a11-py3-none-win_amd64.whl (15.1 MB view details)

Uploaded Python 3Windows x86-64

neo4j_cli-0.1.0a11-py3-none-manylinux_2_17_x86_64.whl (14.6 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ x86-64

neo4j_cli-0.1.0a11-py3-none-manylinux_2_17_aarch64.whl (13.6 MB view details)

Uploaded Python 3manylinux: glibc 2.17+ ARM64

neo4j_cli-0.1.0a11-py3-none-macosx_11_0_arm64.whl (14.2 MB view details)

Uploaded Python 3macOS 11.0+ ARM64

neo4j_cli-0.1.0a11-py3-none-macosx_10_9_x86_64.whl (15.2 MB view details)

Uploaded Python 3macOS 10.9+ x86-64

File details

Details for the file neo4j_cli-0.1.0a11-py3-none-win_arm64.whl.

File metadata

  • Download URL: neo4j_cli-0.1.0a11-py3-none-win_arm64.whl
  • Upload date:
  • Size: 13.8 MB
  • Tags: Python 3, Windows ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for neo4j_cli-0.1.0a11-py3-none-win_arm64.whl
Algorithm Hash digest
SHA256 55b72c0e664224aceee4634aa1449e76658c1c85d750ef3e9a14d77721926e35
MD5 9333613475151c6e5cae2b9b2682b262
BLAKE2b-256 ddc1e0ea859e51c621442f274972a5a9844f79cdde047e4aa059bf9b2ebf8df4

See more details on using hashes here.

File details

Details for the file neo4j_cli-0.1.0a11-py3-none-win_amd64.whl.

File metadata

  • Download URL: neo4j_cli-0.1.0a11-py3-none-win_amd64.whl
  • Upload date:
  • Size: 15.1 MB
  • Tags: Python 3, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for neo4j_cli-0.1.0a11-py3-none-win_amd64.whl
Algorithm Hash digest
SHA256 b90bc2bed17680984c85794a5053c10b1e48ce6ac37cf6fde6936aec7a45a688
MD5 70aead1ba80530443fd3b57980d88db0
BLAKE2b-256 b126628ac7d9e904e8ba67e23e99a4d53ee9f5a18ad79384bfd5916d44e8628d

See more details on using hashes here.

File details

Details for the file neo4j_cli-0.1.0a11-py3-none-manylinux_2_17_x86_64.whl.

File metadata

File hashes

Hashes for neo4j_cli-0.1.0a11-py3-none-manylinux_2_17_x86_64.whl
Algorithm Hash digest
SHA256 61bf2c41c49e7eff272dfb44e10d85ae9511973736e4592447e07c49f83e13b3
MD5 4ed9cf430210b8567807303900e303dd
BLAKE2b-256 7a27fa7327ccf2c8c1faf225cc81fb07492c35780d517d1b78eac5386905ed75

See more details on using hashes here.

File details

Details for the file neo4j_cli-0.1.0a11-py3-none-manylinux_2_17_aarch64.whl.

File metadata

File hashes

Hashes for neo4j_cli-0.1.0a11-py3-none-manylinux_2_17_aarch64.whl
Algorithm Hash digest
SHA256 ad54f7dc309cf3477c3a36d82911bf20a9eb7b2be3c9ae11adfc18d110e6ba39
MD5 49f1a6cab142ae980fe9770e9631b5f9
BLAKE2b-256 4ce8ad7234b5cd00992c49688891943b142f7e4a9a27610a76889610427500c2

See more details on using hashes here.

File details

Details for the file neo4j_cli-0.1.0a11-py3-none-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for neo4j_cli-0.1.0a11-py3-none-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 85018e1ae9b6ec01b25d6a934857324f709d0ea657f881fcacffcc808f2bd6df
MD5 057642b9dd9393f2dacedfd08aedc7b8
BLAKE2b-256 4bc6ec0d30ef04f75cf92b8107998ad241207bf7ae1d49fdd56919ed18fb520c

See more details on using hashes here.

File details

Details for the file neo4j_cli-0.1.0a11-py3-none-macosx_10_9_x86_64.whl.

File metadata

File hashes

Hashes for neo4j_cli-0.1.0a11-py3-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 156fc4d641080f1b222a55efc41700e40a91a12dfc00a5a1a9aea59bb65fdc4d
MD5 ef16cbe202899d3d1bd67f7fd5ddf34f
BLAKE2b-256 8dcd45d9fa00aee7d55ce88d8182bec4a0cf9724699e59fee0f4035859115e5e

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page